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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Certified Kubernetes Application Developer (CKAD) Exam |
| Exam Number: | CKAD |
| Related Certifications: | Certified Kubernetes Application Developer (CKAD) |
| Exam Duration: | 120 minutes |
| Passing Score: | 66% |
| Real Exam Qty: | 15-20 (performance-based tasks) |
| Available Languages: | English |
| Exam Format: | Performance-based, Command-line |
| Certificate Validity Period: | 3 years |
| Exam Price: | USD 445 |
| Sample Questions: | Linux Foundation CKAD Sample Questions |
| Exam Way: | Online, proctored exam via PSI Secure Browser (performance-based in a command-line environment). |
| Pre Condition: | No mandatory prerequisites, but working knowledge of container runtimes and microservice architecture is recommended. |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/ |
>> CKAD Trustworthy Exam Content <<
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Linux Foundation Certified Kubernetes Application Developer (CKAD) Certification Exam is designed to test the knowledge and skills of professionals who develop applications using Kubernetes. Kubernetes is a popular open-source platform that simplifies the deployment, scaling, and management of containerized applications. The CKAD Certification is a vendor-neutral certification that is recognized globally and provides a valuable credential for professionals in the application development industry.
NEW QUESTION # 23 
Task
You have rolled out a new pod to your infrastructure and now you need to allow it to communicate with the web and storage pods but nothing else. Given the running pod kdsn00201 -newpod edit it to use a network policy that will allow it to send and receive traffic only to and from the web and storage pods.
Answer:
Explanation:
See the solution below.
Explanation
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: internal-policy
namespace: default
spec:
podSelector:
matchLabels:
name: internal
policyTypes:
- Egress
- Ingress
ingress:
- {}
egress:
- to:
- podSelector:
matchLabels:
name: mysql
ports:
- protocol: TCP
port: 3306
- to:
- podSelector:
matchLabels:
name: payroll
ports:
- protocol: TCP
port: 8080
- ports:
- port: 53
protocol: UDP
- port: 53
protocol: TCP
NEW QUESTION # 24
Context
Anytime a team needs to run a container on Kubernetes they will need to define a pod within which to run the container.
Task
Please complete the following:
* Create a YAML formatted pod manifest
/opt/KDPD00101/podl.yml to create a pod named app1 that runs a container named app1cont using image Ifccncf/arg-output with these command line arguments: -lines 56 -F
* Create the pod with the kubect1 command using the YAML file created in the previous step
* When the pod is running display summary data about the pod in JSON format using the kubect1 command and redirect the output to a file named /opt/KDPD00101/out1.json
* All of the files you need to work with have been created, empty, for your convenience
Answer:
Explanation:
See the solution below.
Explanation
Solution:
NEW QUESTION # 25
You have a Deployment named 'my-app-deployment' running a Flask application. You need to configure a rolling update strategy with a maximum of one pod unavailable at any time. You also want to trigger an automatic update whenever a new image is pushed to the Docker Hub repository. Additionally, you want to analyze the application logs during the update process to ensure everything is working smoothly. How would you achieve this?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Configure Deployment with Rolling Update:
- Update the 'my-app-deployment' Deployment configuration to include the following:
- 'replicas': Set to 2 to ensure a rolling update with a maximum of one unavailable pod.
- 'maxUnavailable: 1': This specifies that a maximum of one pod can be unavailable during the update.
- 'maxSurge: 0': This ensures no new pods are created beyond the desired replicas.
- 'imagePullPolicy: Always': This forces the pods to pull the latest image from the repository.
- 'strategy.type: RollingUpdate': Specifies the rolling update strategy.
2. Apply Deployment Configuration: - Apply the updated YAML file to your cluster: 'kubectl apply -f my-app-deployment.yamr 3. Analyze Application Logs: - To monitor the logs of your Flask application, utilize a tool like 'kubectl logs' or a dedicated logging service like Fluentd or ElasticSearch. - Example using 'kubectl logs' bash kubectl logs -f my-app-deployment-pod-name - During the rolling update, closely watch the logs for errors or warnings to ensure smooth transitions. 4. Trigger an Automatic Update: - Push a new image with updates to the 'my-app-image:latest' Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=my-app' to monitor the pods during the rolling update. 6. Verify Deployment Status: - Check the status of the Deployment using 'kubectl describe deployment my-app-deployment' . The 'updatedReplicas' field should match the 'replicas' field, indicating a successful update.
NEW QUESTION # 26
You are building a container image for a Spring Boot application that connects to a MySQL database. The application requires specific environment variables, such as the database nostname, username, password, and port. How would you define these environment variables Within the Docker-file to ensure the application runs correctly in a Kubernetes cluster?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
1. Define Environment Variables in Docker-file:
- Utilize the 'ENV' instruction within your Dockerfile to set the necessary environment variables.
- These variables will be accessible to your Spring Boot application during runtime.
- Example:
dockerfile
2. Build the Docker Image: - Construct your Docker image using the Docker-file. - Run the following command: 'docker build -t your-image-name 3. Deploy to Kubernetes: - Create a Deployment or Pod in Kubernetes that utilizes your built image. - Ensure the pod's environment variables align with the ones defined in your Dockerfile. - Example (Deployment YAML):
4. Verify Application Functionality: - Access your deployed application in the Kubernetes cluster. - Verify that it connects successfully to the database and operates as expected.
NEW QUESTION # 27
You are building a microservice-based application with a frontend service and a backend service. The frontend service needs to communicate with the backend service via a Kubernetes Service. Design and implement a robust solution for the frontend service to discover the backend service's IP address and port, ensuring seamless communication between the services.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Backend Service:
- Define a Kubernetes Service for the backend service, exposing it on a specific port.
- Ensure the service's 'selector' matches the labels of your backend pods.
2. Configure Frontend Service: - Create a Kubernetes Deployment for the frontend service. - Inject the backend service's name and pon into the frontend container's environment variables. This will allow the frontend service to access the backend service's information.
3. Create a ConfigMap for Backend Service Informatiom - Create a ConfigMap to store the backend service's information, including its name and port
4. Deploy the Services and ConfigMap: - Apply the YAML files for the backend service, frontend deployment, and ConfigMap to your Kubernetes cluster using kubectl apply -f 5. Test Communication: - Access the frontend service (e.g., through a LoadBalancer or Ingress) and ensure it successfully communicates with the backend service. Notes: - This approach utilizes a ConfigMap to store the backend service information, making it easy to update and manage the connection information. - The frontend service can access the backend service's information through environment variables, ensuring consistency in communication. - By utilizing Kubernetes Services, the trontend service can seamlessly communicate with the backend service without knowing the specific IP addresses or ports of individual pods. - The frontend service should be designed to handle potential errors when attempting to connect to the backend service (e.g., timeouts, network issues). Additional Tips for Robust Communication: - Health Checks: LJse Liveness and Readiness probes to ensure that only healthy backend pods are included in the backend service. - Service Discovery: Consider using advanced service discovery mechanisms like Consul or etcd to enable dynamic service discovery and updates. - Network Policies: Apply network policies to control communication between services, improving security and preventing unauthorized access.,
NEW QUESTION # 28
......
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